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本文引用的文献

1
Ultrasonographic evaluation of ovarian mass for predicting malignancy in pregnant women.超声评估孕妇卵巢肿块以预测恶性肿瘤。
Gynecol Oncol. 2021 Nov;163(2):385-391. doi: 10.1016/j.ygyno.2021.09.007. Epub 2021 Sep 21.
2
Validation of American College of Radiology Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US): Analysis on 1054 adnexal masses.美国放射学院卵巢-附件报告和数据系统超声(O-RADS US)的验证:对 1054 个附件肿块的分析。
Gynecol Oncol. 2021 Jul;162(1):107-112. doi: 10.1016/j.ygyno.2021.04.031. Epub 2021 May 7.
3
Sonographic Assessment of Complex Ultrasound Morphology Adnexal Tumors in Pregnant Women with the Use of IOTA Simple Rules Risk and ADNEX Scoring Systems.应用IOTA简单规则风险和ADNEX评分系统对孕妇附件区复杂超声形态学肿瘤进行超声评估
Diagnostics (Basel). 2021 Feb 28;11(3):414. doi: 10.3390/diagnostics11030414.
4
O-RADS US Risk Stratification and Management System: A Consensus Guideline from the ACR Ovarian-Adnexal Reporting and Data System Committee.O-RADS US 风险分层与管理系统:ACR 卵巢-附件报告和数据系统委员会的共识指南。
Radiology. 2020 Jan;294(1):168-185. doi: 10.1148/radiol.2019191150. Epub 2019 Nov 5.
5
Human Epididymis Protein 4 (HE4) Reference Limits in Polish Population of Healthy Women, Pregnant Women, and Women with Benign Ovarian Tumors.人附睾蛋白 4(HE4)在波兰健康女性、孕妇和患有良性卵巢肿瘤女性中的参考范围。
Dis Markers. 2019 Aug 22;2019:3890906. doi: 10.1155/2019/3890906. eCollection 2019.
6
Serum concentrations of HE4 and Ca125 in uncomplicated pregnancies: a longitudinal study.单纯妊娠时血清HE4和Ca125浓度:一项纵向研究。
J Obstet Gynaecol. 2020 Jan;40(1):70-76. doi: 10.1080/01443615.2019.1603212. Epub 2019 Jul 16.
7
Serum levels of human epididymis protein 4 are more stable than cancer antigen 125 in early and mid-term pregnancy.在妊娠早中期,人附睾蛋白4的血清水平比癌抗原125更稳定。
J Obstet Gynaecol Res. 2018 Nov;44(11):2053-2058. doi: 10.1111/jog.13764. Epub 2018 Aug 20.
8
Prospective evaluation of IOTA logistic regression models LR1 and LR2 in comparison with subjective pattern recognition for diagnosis of ovarian cancer in an outpatient setting.在门诊环境中,对 IOTA 逻辑回归模型 LR1 和 LR2 与主观模式识别进行前瞻性评估,以诊断卵巢癌。
Ultrasound Obstet Gynecol. 2018 Jun;51(6):829-835. doi: 10.1002/uog.18918. Epub 2018 Jun 4.
9
Practice Bulletin No. 174: Evaluation and Management of Adnexal Masses.第174号实践公告:附件肿物的评估与管理
Obstet Gynecol. 2016 Nov;128(5):e210-e226. doi: 10.1097/AOG.0000000000001768.
10
Ovarian masses with papillary projections diagnosed and removed during pregnancy: ultrasound features and histological diagnosis.孕期诊断并切除的伴有乳头样突起的卵巢肿物:超声特征及组织学诊断
Ultrasound Obstet Gynecol. 2017 Jul;50(1):116-123. doi: 10.1002/uog.17216.

用于预测卵巢肿块孕妇恶性肿瘤的超声卵巢肿块评分系统。

Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass.

作者信息

Lee Se Jin, Oh Hye Rim, Na Sunghun, Hwang Han Sung, Lee Seung Mi

机构信息

Department of Obstetrics and Gynecology, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Korea.

Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.

出版信息

Obstet Gynecol Sci. 2022 Jan;65(1):1-13. doi: 10.5468/ogs.21212. Epub 2021 Dec 14.

DOI:10.5468/ogs.21212
PMID:34902893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8784942/
Abstract

During routine antenatal ultrasound examinations, an ovarian mass can be found incidentally. In clinical practice, the differential diagnosis between benign and malignant ovarian masses is essential for planning further management. Ultrasound imaging has become the most popular diagnostic tool during pregnancy, with the recent development of ultrasonography. In non-pregnant women, several methods have been used to predict malignant ovarian masses before surgery. The International Ovarian Tumor Analysis (IOTA) group reported several scoring systems, such as the IOTA simple rules, IOTA logistic regression models, and IOTA assessment of different NEoplasias in the adneXa. Other researchers have also evaluated the malignancy of ovarian masses before surgery using scoring systems such as the Sassone score, pelvic mass score, DePriest score, Lerner score, and Ovarian-Adnexal Reporting and Data System. These researchers suggested specific features of ovarian masses that can be used for differential diagnosis, including size, proportion of solid tissue, papillary projections, inner wall structure, locules, wall thickness, septa, echogenicity, acoustic shadows, and presence of ascites. Although these factors can also be measured in pregnant women using ultrasound, only a few studies have applied ovarian scoring systems in pregnant women. In this article, we reviewed various scoring systems for predicting malignant tumors of the ovary and determined whether they can be applied to pregnant women.

摘要

在常规产前超声检查期间,可能会偶然发现卵巢肿块。在临床实践中,卵巢肿块的良恶性鉴别诊断对于规划进一步的治疗至关重要。随着超声检查技术的最新发展,超声成像已成为孕期最常用的诊断工具。在非妊娠女性中,术前已采用多种方法来预测卵巢恶性肿块。国际卵巢肿瘤分析(IOTA)小组报告了几种评分系统,如IOTA简单规则、IOTA逻辑回归模型以及IOTA附件不同肿瘤的评估方法。其他研究人员也使用诸如萨索内评分、盆腔肿块评分、德普里斯特评分、勒纳评分和卵巢附件报告与数据系统等评分系统在术前评估卵巢肿块的恶性程度。这些研究人员提出了可用于鉴别诊断的卵巢肿块的特定特征,包括大小、实性组织比例、乳头状突起、内壁结构、小房、壁厚、分隔、回声性、声影以及腹水的存在。尽管这些因素也可以通过超声在孕妇中进行测量,但仅有少数研究在孕妇中应用了卵巢评分系统。在本文中,我们回顾了各种预测卵巢恶性肿瘤的评分系统,并确定它们是否可应用于孕妇。